Quality engineering must evolve faster than code; otherwise, agentic AI will move quickly, learn rapidly and fail expensively.

Empromptu's "golden pipeline" approach tackles the last-mile data problem in agentic AI by integrating normalization directly into the application workflow — replacing weeks of manual data prep with ...

Here is a blueprint for architecting real-time systems that scale without sacrificing speed. A common mistake I see in early-stage personalization teams is trying to rank every item in the catalog in ...

The position paper “Reconciling AI Sovereignty and Exportability” builds on decades of work by Thales in artificial intelligence, notably within its CortAIx entities, and places respect for national ...

The summit spotlight was recent, but Sarvam AI's rise began years earlier, as two engineers built an India-first AI startup focused on sovereign models, local datasets and real-world applications ...

The Lamat Institute at the University of California, Santa Cruz, is a cohort-based research program designed to advance ...

A new group-evolving agent framework from UC Santa Barbara matches human-engineered AI systems on SWE-bench — and adds zero ...

2026 will be a transformative year in this area — one where force fields redefine the boundaries of atomistic simulation, making previously unthinkable modeling and discoveries routine. With workflows ...

The partnership will see the two companies exploring how World Labs’ models can work alongside Autodesk’s tools, and vice versa, starting with a focus on entertainment use cases.

"Vaidya 2.0 is the first AI model to achieve a 50+ score on OpenAI's HealthBench (hard), outperforming GPT-5 and Google's ...

RISC-V’s expanding role in AI is not a rejection of incumbent architectures, which continue to deliver performance and compatibility across a wide range of systems. It reflects a shift in engineering ...